




import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
__a							     =					object()

# For specifying empty leaf dict `{}`
__a							     =					object()







def lowerCamelCase__  (     _lowercase					,		_lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				Optional[int]  =     tuple((re.compile(x + '''$''' ) for x in qs) )
     for i in range(len(_lowercase ) - len(_lowercase ) + 1 ):
          UpperCAmelCase_     :				List[Any]  =     [x.match(_lowercase ) for x, y in zip(_lowercase					,		ks[i:] )]
          if matches and all(_lowercase ):
               return True
     return False







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     def replace(_lowercase					,		_lowercase ):
          for rule, replacement in rules:
               if _match(_lowercase					,		_lowercase ):
                    return replacement
          return val

     return replace







def lowerCamelCase__  (     ):

     '''simple docstring'''


     return [
         # embeddings
         (("transformer", "wpe", "embedding"), P('''mp'''					,		_lowercase )),
         (("transformer", "wte", "embedding"), P('''mp'''					,		_lowercase )),
         # atention
         (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(_lowercase					,		'''mp''' )),
         (("attention", "out_proj", "kernel"), P('''mp'''					,		_lowercase )),
         (("attention", "out_proj", "bias"), None),
         # mlp
         (("mlp", "c_fc", "kernel"), P(_lowercase					,		'''mp''' )),
         (("mlp", "c_fc", "bias"), P('''mp''' )),
         (("mlp", "c_proj", "kernel"), P('''mp'''					,		_lowercase )),
         (("mlp", "c_proj", "bias"), None),
         # layer norms
         ((r"ln_\d+", "bias"), None),
         ((r"\d+", r"ln_\d+", "scale"), None),
         (("ln_f", "bias"), None),
         (("ln_f", "scale"), None),
     ]







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				Any  =     _get_partition_rules()
     UpperCAmelCase_     :				List[str]  =     _replacement_rules(_lowercase )
     UpperCAmelCase_     :				Dict  =     {k: _unmatched for k in flatten_dict(_lowercase )}
     UpperCAmelCase_     :				Optional[Any]  =     {k: replace(_lowercase					,		_lowercase ) for k, v in initd.items()}
     assert _unmatched not in result.values(), "Incomplete partition spec."
     return freeze(unflatten_dict(_lowercase ) )



from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
 from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline




